7th International Workshop on Big Data and Computing (WBDC 2025)

Topics

• Applications and Evaluation of Real-Time Big Data Systems
• Algorithmic, experimental, prototyping and implementation
• Big Data Algorithms, Applications and Services
• Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment
• Big Data Analytics in Government, Public Sector and Society in General
• Big Data Analytics and Machine and Deep Learning
• Big Data Applications
• Big Data Analytics in Small Business Enterprises (SMEs)
• Big Data as a Service
• Big Data Architectures
• Big Data for Improving Resilient Infrastructures
• Big Data Education
• Big Data Industry Standards
• Big Data for Social Networking
• Big Data Mining and Analytics
• Big Data Management
• Big Data Open Platforms
• Big Data Models and Algorithms
• Big Data Search, Mining, and Visualization
• Big Data Processing and Querying
• Big Data Visualization
• Big Data Security, Privacy and Trust
• Cloud Computing Solutions and Platforms
• Cloud and Big Data for Internet of Things (IoT)
• Compiler Technologies
• Cloud/Grid/Stream Computing for Big Data
• Computers and Society, Interdisciplinary Applications
• Complex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance, Business, Law, Education, Transportation, Retailing, Telecommunication
• Data and Information Quality for Big Data
• Computing, scheduling and resource management for sustainability
• Data quality issues: such as validation, metrics, optimizations and consistency
• Data intensive computing theorems and technologies
• Embedded and Cyber-Physical Systems
• Data-driven innovation, computational modelling and data integration
• Energy-efficient Computing for Big Data
• Enabling Resources for Big Data Research
• Government and Industrial Experiences for Cloud and Big Data
• Experiences with Big Data Project Deployments
• Green data centers / environmental-friendly perspectives green data centers / environmental-friendly perspectives
• Green Computing and Networking Technologies for Cloud and Big Data
• Innovative Approaches, Algorithms, and Models of Computing
• High Performance/Parallel Computing Platforms for Big Data
• New Computational Models for Big Data
• Large-Scale System Design
• New Programming Models for Big Data beyond Hadoop/MapReduce, STORM
• New Data Standards
• Privacy and Security for Cloud and Big Data
• Novel Theoretical Models for Big Data
• Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data
• Programming Languages, Models, and Runtimes
• Real-life Case Studies of Value Creation through Big Data Analytics
• Quality of Big Data Services
• Software Engineering for Cloud Computing and Big Data
• Software and tools for big data management
• Software Techniques and Architectures in Cloud/Grid/Stream Computing
• Software Systems to Support Big Data Computing
• Techniques and Algorithms for Real-Time Big Data Analytics
• Software, hardware and algorithm co-design, high-performance computing
• Virtualization Technologies, Cloud Data Management and Storage, Cloud Resource Management and QoS